Search - cepstrum

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【Mathimatics-Numerical algorithms】 cepsterumm-analysis DL : 0: this program will help you to simulate and produce the projects and images of chapter 13 of oppenheim DSP book which is cepstrum analysis and homomorphic deconvolution.
Update : 2024-05-19 Size : 6144 Publisher : mostafap
【Other】 yuyinxinhaochuli DL : 0: 语音处理是信号与信息处理的重要内容之一，通过本课程设计，使学生理解数字信号处理的有关理论和方法在语音处理中的具体应用。课程设计的目的归纳如下： 1、掌握语音信号的特点； 2、掌握语音处理的基本理论和方法； 3、掌握基于Matlab编程实现语音的获取、显示、频谱分析、短时能量、短时自相关以及倒谱复倒谱的分析方法； 4、掌握语音基音频率及共振峰频率的检测方法。-Signal and speech processing is an important part of information processing, through the curriculum design, so that students understand the digital signal The theory and methods of management in voice processing in the specific application. Curriculum is designed to be summarized as follows: A master speech signal characteristics 2, master the basic theory and speech processing methods 3, master Matlab programming based voice access, display, spectrum analysis, short-time energy, short-term autocorrelation and inverted Spectral analysis of the complex cepstrum method 4, master voice pitch frequency and formant frequency detection method.
Update : 2024-05-19 Size : 1226752 Publisher : 立枣酒
【Other】 Renyi_simulate DL : 0: 使用m文件产生加噪声的射频信号，通过滤波得到中频信号和基带信号，然后对其取倒谱。经过门特卡罗仿真，采用统计方式，得到各点的概率分布律，然后计算结果的香农熵和互雷尼信息熵。-M files generated using the RF signal plus noise, obtained by filtering the IF signal and baseband signal, and then take its cepstrum. After the door Monte Carlo simulation, using statistical methods to obtain the probability distribution law of each point, and then calculate the result of Shannon entropy and mutual information entropy Rainey.
Update : 2024-05-19 Size : 24576 Publisher : 姜是
【Other】 aa DL : 0: 从一段语音中提取其梅尔倒谱，很好用，简单易懂-Extract it from a voice Mel cepstrum, useful, easy to understand
Update : 2024-05-19 Size : 34816 Publisher : 李金中
【matlab】 specsub DL : 0: 倒谱差算法，是用于消除噪声的一种方法，可以有效的提取有效的语音，进行后续处理-Differential cepstrum algorithm is a method used to eliminate noise, can effectively extract the active voice, for further processing
Update : 2024-05-19 Size : 5120 Publisher : Song
【source in ebook】 52_HQ DL : 0: 一种关于倒谱的实现研究处理方法的总结以及展望-One kind of research on cepstrum processing method to achieve a summary and outlook
Update : 2024-05-19 Size : 6816768 Publisher : 李伟
【LabView】 daopu DL : 0: 倒谱算法在Labview中实现，很好的一种信号分析方法-Cepstrum algorithm implemented in Labview
Update : 2024-05-19 Size : 10240 Publisher : 万星
【Speech/Voice recognition/combine】 tibaoluo DL : 0: 基于倒谱短时部分反映了语音的声道特性，先用汉明窗取一帧语音，然后经变换得到语音倒谱，将倒谱短时部分取出，进行正交反变换后将得到声道的对数谱，即得到语音频谱的包络。将频谱包络和频谱画在一张图上，有很好的对比效果。获取的包络效果十分好。-Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, and speech cepstrum obtained by converting the cepstrum short segment out inverse orthogonal transform to obtain channel will of the spectrum, i.e. to obtain the envelope of the speech spectrum. The spectral envelope and spectral painted on a chart, there is a good contrast. Get the envelope effect is very good.
Update : 2024-05-19 Size : 1024 Publisher : tanxuejiao
【matlab】 melcepst DL : 0: 计算Mel倒谱系数的matlab程序，非常经典的一个程序。-MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
Update : 2024-05-19 Size : 2048 Publisher : zhangyatong
【Voice Compress】 lpczl DL : 0: 通过改变想要处理的帧，和预测器阶数，对原始语音帧和预测语音帧作一个比较，并作出短时谱和lpc谱，最后作倒谱比较。-By changing the processing of the desired frame, and the predictor order, the original speech frame and the predicted speech frame to make a comparison and to make short-term spectrum and the lpc spectrum, cepstrum last for comparison.
Update : 2024-05-19 Size : 1024 Publisher : chen
【Audio program】 wave-Cepstrum DL : 0: 一个语音的倒频谱图的分析，有源代码，有图，加一个DCT压缩代码-A voice analysis inverted spectrum, source code, a map, plus a DCT compression code
Update : 2024-05-19 Size : 325632 Publisher : 孔波
【matlab】 GUI_matlab DL : 0: 实现物种功能的语音处理：倒谱、时域、频谱、语谱图以及功率谱，并加有详尽的注释。另外还可以保存图像，一倍后来研究！matlab ＧＵＩ编程-Voice processing functions to achieve species: cepstrum, time domain, frequency spectrum, spectrogram and power spectrum, and add detailed comments. It also can save the image, doubled and later research!
Update : 2024-05-19 Size : 89088 Publisher : xiaomiao
【Special Effects】 untitled DL : 0: 图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计-Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation
Update : 2024-05-19 Size : 2048 Publisher : 丘文威
【matlab】 cepstral_pitch_edit1 DL : 0: 基于倒谱分析的语音信号基音检测GUI，非常有效-GUI-based voice signal cepstrum pitch detection analysis, very effective
Update : 2024-05-19 Size : 1339392 Publisher : zachary
【Other】 MATLAB DL : 0: 梅尔频率倒谱(Mel-Frequency Cepstrum)是一段声音的短时功率谱，基于频率的非线性梅尔刻度(mel scale)的对数能量频谱的线性预先变换- the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.
Update : 2024-05-19 Size : 9216 Publisher : 路上
【Other】 9MATLABCHULIXIN DL : 0: 第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简单LPC共振峰检测268 9.4.2改进的LPC共振峰检测270 9.5基于HilbertHuang变换(HHT)的共振峰检测274 9.5.1希尔伯特变换275 9.5.2语音信号的另一种模型——AMFM模型278 9.5.3对AMFM模型的分析279 9.5.4语音信号共振峰特征参数提取的HHT方法279 9.5.5基于HilbertHuang变换的共振峰检测步骤和MATLAB程序280-Estimation Chapter 9 259 9.1 formant pre-emphasis and pre-emphasis endpoint detection 259 259 9.1.1 9.1.2 9.2 endpoint detection principle cepstrum estimate 260 to 260 9.2.1 formant formant estimation cepstrum 260 9.2.2 cepstrum estimate estimate estimate formant MATLAB program 261 9.3LPC method formant 262 9.3.1LPC law principle of formant estimation interpolation within 262 9.3.2LPC formants 263 9.3.3LPC Root Law resonance estimate peak 266 9.4 Continuous Speech LPC formant detection method is simple LPC formant 268 9.4.1 268 9.4.2 Improved detection LPC 270 9.5 formant detection based HilbertHuang transform (HHT) 274 9.5.1 formant detection Hill Another model 275 9.5.2 Hilbert transform voice signals- AMFM model 278 9.5.3 Analysis of the AMFM model HHT Method 279 9.5.4 formant speech signal feature extraction based HilbertHuang transform 279 9.5.5 Resonance peak detection step and MATLAB program 280
Update : 2024-05-19 Size : 10240 Publisher : 孟稳
【Other】 3MATLABYUYIN DL : 0: 3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.5EMD的基本理论和算法53 3.5.1EMD的基本概念53 3.5.2EMD 的基本原理55 3.5.3EMD法的完备性和正交性57 3.5.4基于EMD的Hilbert变换的基本原理和算法59 3.5.5EMD法的MATLAB函数60-3.1 homomorphic speech signal processing fundamentals and cepstrum analysis 30 3.1.1 30 3.1.2 homomorphic processing complex cepstrum and cepstrum 31 3.2 Discrete Cosine Transform 34 3.3Mel frequency analysis of 37 3.3.1Mel cepstral filtering control group of 37 3.3.2MFCC feature extraction 38 3.4 wavelet and wavelet packet transform wavelet transform 43 43 3.4.1 3.4.2 3.4.3 44 wavelet packet transform wavelet packet algorithm 45 3.4.4MATLAB one-dimensional wavelet and wavelet packet transform function 46 3.4.5MATLAB voice signal example of wavelet and wavelet packet transform 49 3.5EMD basic theory and algorithms 53 3.5.1EMD basic concepts of the basic principles of law 53 3.5.2EMD of 55 3.5.3EMD completeness and orthogonality 57 3.5.4 Based on the basic principle of MATLAB functions and algorithms EMD Hilbert transform 60 of 59 3.5.5EMD law
Update : 2024-05-19 Size : 43008 Publisher : 孟稳
【Speech/Voice recognition/combine】 speech-analysis DL : 0: 对语音进行分析，包括时域分析（包括能量、过零率、互相关函数）和频域分析（包括fft变换、倒谱、LPC）-Speech analysis, including time domain analysis (including energy, zero-crossing rate, the cross-correlation function) and frequency domain analysis (including fft transform, cepstrum, LPC)
Update : 2024-05-19 Size : 5888000 Publisher : 姚艳
【Algorithm】 mfcc DL : 0: matlab版本，提取语音梅尔频谱倒谱系数（MFCC）特征-Matlab version, Mel frequency cepstrum coefficient（MFCC） feature extraction of speech
Update : 2024-05-19 Size : 2048 Publisher : zhaoming
【Special Effects】 stft DL : 0: 里面包括短时傅里叶变换谱，倒谱平滑等，这些代码广泛用于，语音说话人识别，语音增强，雷达，声呐，图像等领域-Including short-time Fourier transform spectrum, cepstrum smooth, etc., are widely used in the code, voice speaker recognition, speech enhancement, radar, sonar, image, etc
Update : 2024-05-19 Size : 1024 Publisher : shngyongqiang

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